Alternatives and similar repositories for dysts

Users that are interested in dysts are comparing it to the libraries listed below

• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆829Updated last month
• kpchamp / SindyAutoencoders
  ☆357Updated 3 years ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆516Updated last month
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆361Updated 7 months ago
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆704Updated this week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆429Updated last week
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆456Updated 3 weeks ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆438Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆206Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆361Updated 2 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆450Updated 9 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆452Updated last year
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆927Updated last month
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆310Updated last week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,675Updated this week
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆34Updated 2 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆477Updated 3 weeks ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆474Updated 4 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆501Updated 11 months ago
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆572Updated last week
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆119Updated 3 months ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆164Updated 6 months ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆342Updated 2 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆192Updated last year
• pdearena / pdearena
  ☆263Updated 9 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆440Updated last month
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆219Updated last month
• dynamicslab / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆1,596Updated last week
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆147Updated 3 weeks ago